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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Purposedifferent
When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.When uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream.When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
30-90 min2-5 min je ItemLaufend, Wochen bis Monate30-60 min
Participantsdifferent
3-123-94-102-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsRelative Estimates, Assumption Notes, Split CandidatesDiscovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte StoriesSmaller Stories, Acceptance Criteria, Split Rationale
Tagsno overlap
EstimationBacklogRelative sizing
EstimationAgileRelative sizingTeam
AgileDiscoveryDelivery
BacklogIterationDelivery
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